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Logging Evaluation Method Of Mesozoic Reservoir In M Depression

Posted on:2018-02-05Degree:MasterType:Thesis
Country:ChinaCandidate:G Y ZhangFull Text:PDF
GTID:2310330512497295Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
M depression in L Oilfield is a sub depression of peripheral Mesozoic basin, mainly developped a set of Mesozoic reservoir, is the depression that currently discover most resevior in L oilfield. The oil and gas resources are rich, the geological condition is very complex, but the depression has great exploration potential. Analyzing from the drilling data,the poor conditions reservoir in this area generally belong to low porosity and low permeability reservoir.This paper starts from the logging data, utilizes logging, sidewall coring, drilling coring and oil trial production data, summarizes the reservoir logging response characteristics of Jiufotang group and Yixian group Formation, uses cross-plot technology to establish criteria for the identification of lithology and reservoir; the reservoir parameter interpretation model are built and the calculation results of reservoir parameters are provided according to the regional core analysis data; the evaluation standard of reservoir fluid of different lithology in different regions are set up, and the fine interpretation and evaluation of 150 prospect wells in M depression are carried out, the conclusion amendments and suggestions of potential depth intervals of suggested oil trial wells are put forward; according to stratigraphic correlation between wells, the law of distribution of reservoir in this area are sum up,determine the overall distribution trend, the area of stress analysis are carried out by dipmeter data to provide guidance data for the next fracturing work; stratigraphic correlation for accurate reservoir blocks,effectively guide the later well deployment, improve the exploration effect.
Keywords/Search Tags:Mesozoic reservoir, low porosity and low permeability reservoir, Parametric calculation, lithology identification, logging evaluation
PDF Full Text Request
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